Andrew Rosalsky

Statistics and Probability · 2008–2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 6 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Andrew Rosalsky trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Weidong Liu

Papers from Andrew Rosalsky's perspective

Ordered by how strongly the researchers Andrew Rosalsky trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Comparison Theorem on Moment Inequalities Between Negatively Associated and Independent Random Variables
2. Precise asymptotics for a new kind of complete moment convergence
3. Complete convergence for weighted sums of negatively associated random variables
4. The asymptotic distributions of the largest entries of sample correlation matrices
5. On the distribution of the largest eigenvalue in principal components analysis
6. Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size
7. For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
8. Uncertainty principles and ideal atomic decomposition
9. Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization
10. Asymptotic distribution of the largest off-diagonal entry of correlation matrices

Their papers

• A note on the stochastic domination condition and uniform integrability with applications to the strong law of large numbers (2021) — 47 citations
• Complete moment and integral convergence for sums of negatively associated random variables (2008) — 55 citations